Record Linkage Software

Did you know?

88% Businesses have had problems with record linkage in their lists

Surveys reveal that 88% of business have had problem with record linkage in their list. Data duplication is a growing concern with increasing volumes and touchpoints, resulting in wasted sales and marketing efforts. Duplicate records can also affect predictive analytics and other forms of business intelligence.

So what’s stopping them?

Mistakes in data entry by employees or customers.

Incorrectly formatted phone numbers, addresses, and email addresses.

Systems migration or data integration from disparate sources.

Nicknames, names with multiple accepted spellings, and abbreviations.

Rated Industry's Fastest and Most Accurate Record Linkage Software

Linkage Scenario

Runtime

Linkage Quality

Runtime

Precision

Recall

F-Measure

Deduplication 40,000 records

12 Seconds

95.3

97.1

96.2

Deduplication 400,000 records

3 Minutes

92.6

93.2

92.9

Deduplication of 400,000 records to 4 Million Records

45 Minutes

91.5

93.1

92.3

What is Record Linkage?

Record linkage is defined as the process of identifying records on two or more datasets that refer to the same entity across various data sources such as databases, CRMs, and social media platforms. Discover new connections and unearth insights with record linkage software even when the records in question are in different formats and have no unique identifier (customer number, for instance).

Single Source of Truth

Find information spread across data sets that belong to the same entity and create a single record with complete information.

Rapid Deployment

People may enter different variations or combinations of names, addresses, and contact information. John Smith and John A. Smith may be the same customer, but the addition of one alphabet will result in duplicates. Such errors are very common in data, and manually detecting them is not a feasible strategy when there are millions of records.

DataMatch is a highly visual desktop fuzzy matching software specifically designed to solve customer and contact data quality issues. DataMatch includes multiple proprietary and standard algorithms to detect phonetic, fuzzy, miskeyed, and abbreviated variations. The suite consists of scalable configurations for deduplication and record linking, suppression, enhancement, extraction, and standardization of business and customer data.

Data Ladder’s fuzzy matching tools are employed in many different industries to cleanse data. find and link customer data, consolidate data across multiple sources, and remove deceased and unwanted records – quickly and easily improving your marketing and mailing performance. It is used in fraud prevention to detect deceptive entities. It is used in the healthcare sector to ensure that every patient has only one complete medical history, enriched from 3rd party repositories. It is used in research firms to clean data before analysis. Any business activity that needs clean data will need advanced fuzzy matching tools. Our fuzzy matching software works on relational databases, big data lakes, CRMs, file formats, and social media platforms. The intuitive user interface has been designed for business users and uses graphical reports, multiple tabs, and simple menus to ensure that both business and IT users can “Get the Most Out of Your Data”.

Record Linkage in Healthcare Research

Opportunity Maps: Using Record Linkage to Increase Sales

Insurance Agents and Brokers Need Record Linkage to Drive Growth

Ready to Start Matching to Clean, Enrich, and Prepare Your Data?

During your 30-day trial, you can access DataMatch Enterprise™ risk-free. The software is user-friendly and easy to install – what you see is what you get! However, we recommend a 30 to 60-minute non-obligatory online consultation with one of our subject matter experts to help you get the most out of your free trial.